Curated for content, computing, and digital experience professionals

Category: Content technology news (Page 38 of 624)

Curated information technology news for content technology, computing, and digital experience professionals. News items are edited to remove hype, unhelpful jargon, iffy statements, and quotes, to create a short summary — mostly limited to 200 words — of the important facts with a link back to a useful source for more information. News items are published using the date of the original source here and in our weekly email newsletter.

We focus on product news, but also include selected company news such as mergers and acquisitions and meaningful partnerships. All news items are edited by one of our analysts under the NewsShark byline.  See our Editorial Policy.

Note that we also publish news on X/Twitter. Follow us  @gilbane

Elastic enhances cross-cluster search and replication

Elastic, the company behind Elasticsearch, announced enhancements to its cross-cluster search and cross-cluster replication capabilities with interoperability between self-managed deployments and Elastic Cloud, now generally available. Customers can seamlessly search data across multiple Elasticsearch clusters deployed on-premises, on Kubernetes, and in the cloud.

Cross-cluster search enables users to search across multiple clusters and visualize data in one coherent view for deeper insights. Cross-cluster replication allows customers to replicate data between clusters regardless of their physical location (cloud or on-premises) and deployment model. Features include:

  • Streamlining workflows with a single user interface to search and replicate data between Elasticsearch clusters regardless of environment—on-premises, public cloud, hybrid, and multi-cloud.
  • Enabling customers to minimize risk and increase operational efficiency while retaining complete visibility of their data throughout the gradual migration of on-premises workloads to the cloud.
  • Optimizing customers’ ability to troubleshoot production applications, analyze security events, and manage where their sensitive data resides.
  • Improving disaster recovery scenarios where data redundancy and business continuity are critical, while increasing service resilience and lowering latency.

https://www.elastic.co/blog/search-and-replicate-data-between-your-elastic-cloud-and-on-prem-deployments

Netlify announces investments for the Jamstack Innovation Fund

Netlify, a platform for modern web development, announced the first cohort of the Jamstack Innovation Fund, created by Netlify to support the early-stage companies that are driving forward the modern web by arming developer teams with Jamstack-based tooling and practices.

Jamstack is an architectural approach that decouples the web experience from data and business logic, improving flexibility, scalability, performance and maintainability. Each of the startups Netlify has invested in offers a unique technology that adds to the best development experience for the web. They include ChiselStrike, a prototype-to-production data platform; Clerk, the first authentication service purpose-built for Jamstack; Clutch, a visual editor for Jamstack solutions; Convex, a global state management platform; Deno, a modern runtime for JavaScript and TypeScript; Everfund, a developer-first nonprofit tool to build custom fundraising systems; NuxtLabs, making web development intuitive with NuxtJS, an open source framework for Vue.js; Snaplet, a tool for copying Postgres databases; TakeShape, a GraphQL API mesh; and Tigris Data, a zero-ops backend for web and mobile apps.

The Fund has a goal of investing $10 million in the Jamstack ecosystem. In addition to a $100,000 investment, Netlify provides a free startup program. Netlify is accepting rolling submissions to the Jamstack Innovation Fund.

https://www.netlify.com/jamstack-fund/

Sitecore releases Experience Manager Cloud (XM Cloud)

Sitecore announced it has completed transition of its core CMS solution including personalization and the content authoring experience, to a modern cloud architecture with the release of Sitecore Experience Manager (XM) Cloud. The release will help brands with speed to market in the implementation of customer experiences, simplifying design and deployment, and eliminating upgrades. With XM Cloud, marketers can instantly create, manage and deliver engaging omnichannel experiences with an enterprise-ready CMS.

For business users, XM Cloud offers the ability to build pixel-perfect digital experiences via a WYSIWIG authoring experience that can access content anywhere as well as embedded testing & personalization, and integrated visitor analytics. For developers, XM Cloud can be used with headless development techniques and will work with modern frontend frameworks and support all deployment scenarios.

With Sitecore XM Cloud, the company’s entire Digital Experience Platform can now provide brands and marketers with:

  • Composability – all of Sitecore’s platform solutions can now be purchased independently and will fit in a best-of-breed marketing technology stack
  • On-the-Fly Engagement – rapidly create experiences to meet constantly evolving market needs
  • Multi-channel content management – create content once and reuse across any channel and experience
  • Simplicity for marketers – business-focused tools and intuitive content authoring workflows

https://www.sitecore.com

IBM Research open-sources toolkit for Deep Search

IBM released an open-sourced part of the IBM Deep Search Experience in a new toolkit, Deep Search for Scientific Discovery (DS4SD), for scientific research and businesses with the goal of spurring on the rate of scientific discovery.

To help achieve this goal, we’re now publicly releasing a key component of the Deep Search Experience, our automatic document conversion service. It allows users to upload documents in an interactive fashion to inspect a document’s conversion quality. DS4SD has a simple drag-and-drop interface, making it very easy for non-experts to use. We’re also releasing deepsearch-toolkit, a Python package, where users can programmatically upload and convert documents in bulk.

Deep Search uses AI to collect, convert, curate, and ultimately search huge document collections for information that is too specific for common search tools to handle. It collects data from public, private, structured, and unstructured sources and leverages state-of-the-art AI methods to convert PDF documents into easily decipherable JSON format with a uniform schema that is ideal for today’s data scientists. It then applies dedicated natural language processing and computer vision machine-learning algorithms on these documents and ultimately creates searchable knowledge graphs.

https://research.ibm.com/blog/deep-search-toolkit

BigCommerce expands in Europe and South America

BigCommerce, an ecommerce platform for fast-growing and established B2C and B2B brands, announced it has grown its European presence into Austria, Denmark, Norway and Sweden, and its Latin American presence into Peru. With its latest expansions and fully localized tech and agency partner ecosystem, BigCommerce will enable merchants of all sizes and complexities to build and scale their online businesses to deliver seamless shopping experiences to local and cross-border customers. Merchants can:

  • Create versatile shopping experiences. In addition to a fully translated control panel and native-language support, retailers can use multi-language, multi-currency, secure payment capabilities and create local storefronts or expand their customer reach in new markets.
  • Deliver an omnichannel shopping experience and surface new revenue streams. BigCommerce’s open SaaS approach enables direct integrations with global channels like Facebook Shopping, Instagram Shopping and TikTok.
  • Tap into B2B functionality to build B2B storefronts. BigCommerce’s suite of native functionality and ecosystem of integration partner applications make it easier for B2B merchants to offer B2C-like experiences.
  • Leverage headless technology for future-oriented storefronts. As a member of the MACH Alliance, BigCommerce’s integrations with top front-end frameworks and best-of-breed technology ecosystem enable businesses to evolve from monolithic architectures to future-proof tech stacks.

https://www.bigcommerce.com

Ontotext releases GraphDB 10

GraphDB 10.0 is the first major release since GraphDB 9.0 was released in September 2019. It implements next generation, simpler and more reliable cluster architecture to deliver better resilience with reduced infrastructure costs. GraphDB 10 lowers the complexity of operations with better automation interfaces and a self-organized cluster for automated recovery. Deployment and packaging optimizations allow for effortless upgrades across the different editions of the engine, all the way from GraphDB Free to the Enterprise Edition. The improved full-text search (FTS) connectors of GraphDB 10 enable more comprehensive filtering as well as easier downstream data replication. Finally, parallelization of the path search algorithms brings massive improvement in graph analytics workloads through better exploitation of multi-core hardware.

Unlike previous versions, GraphDB 10 is packaged as a single distribution that can run in Free, Standard or Enterprise Edition modes depending on the currently set license. It requires zero development effort to pass from one edition to another. It is also possible to export a repository with an expired license so users are never locked out of their own data. Two major areas of improvement coming in 10.1 will be query performance optimization and availability on some of the major cloud platforms.

https://www.ontotext.com

DataStax’s Astra Streaming now supports for Kafka and RabbitMQ

DataStax announced the general availability of Astra Streaming, a managed messaging and event streaming service built on Apache Pulsar. Now featuring built-in API-level support for Kafka, RabbitMQ and Java Message Service (JMS), Astra Streaming makes it easier for enterprises to get real-time value from their data-in-motion. Capabilities include:

  • Mobilizes all data-in-motion An enterprise’s data-in-motion encompasses all data in platforms that provide streaming, queuing and pub/sub capabilities, Astra Streaming can address these use cases at the scale enterprises need.
  • Modernizes event-driven architectures: Seamlessly leverage existing messaging/pub sub apps and turn them into streaming apps with a drop-in replacement; easily modernize Kafka applications with zero rewrites
  • Runs across an entire IT estate: multi-cloud + on prem: Supports a unified event fabric that stretches across an enterprise’s data-in-motion spread across their entire data estate: on premises, in the cloud and at the edge.
  • Powers a real-time data ecosystem: Through a wide range of connectors, Astra Streaming is connected to an enterprise’s data ecosystem, enabling real-time data to flow instantly from data sources and applications to streaming analytics and machine learning systems. It’s also integrated with Astra DB, powering its CDC capabilities.

https://www.datastax.com/press-release/datastax-s-astra-streaming-goes-ga-with-new-built-in-support-for-kafka-and-rabbitmq

Acquia adds data subject deletion requests to Acquia CDP

Acquia announced new regulatory compliance features that help organizations using Acquia Customer Data Platform (CDP) to comply with data subject requests and privacy laws in general. Using a new self-service interface, organizations can rapidly process “Right to Erasure” (otherwise known as “Right to be Forgotten”) requests associated with regulations such as GDPR, CCPA, and more from their customers. The feature for legal and compliance workflows is to make it simple for organizations using Acquia CDP to process deletion requests from their own customers, ensuring that these requests are handled quickly.

Other recent self-service updates include secure credentials management for Acquia CDP out-of-the-box connectors. Organizations can now generate and manage their own credentials for pre-built connectors to external services such as Facebook or Google. In addition, they can set up new credentials for their own custom connectors. Both self-service credentials management and compliance features are meant to accelerate workflows within Acquia CDP, without having to wait for assistance from an Acquia customer support team member.

https://www.acquia.com

« Older posts Newer posts »

© 2024 The Gilbane Advisor

Theme by Anders NorenUp ↑